Please use this identifier to cite or link to this item: http://dx.doi.org/10.23668/psycharchives.2526
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dc.rights.licenseCC-BY-SA 4.0en_US
dc.contributor.authorDeVries, Jeffrey M.-
dc.contributor.authorKuhn, Jörg-Tobias-
dc.contributor.authorGebhardt, Markus-
dc.date.accessioned2019-08-08T10:57:15Z-
dc.date.available2019-08-08T10:57:15Z-
dc.date.issued2019-08-08-
dc.identifier.citationDeVries, J. M., Kuhn, J.-T., & Gebhardt, M. (2019). What applying growth mixture modeling can tell us about predictors of number line estimation [Data set]. ZPID (Leibniz Institute for Psychology Information). https://doi.org/10.23668/psycharchives.2526en
dc.identifier.urihttps://hdl.handle.net/20.500.12034/2150-
dc.identifier.urihttp://dx.doi.org/10.23668/psycharchives.2526-
dc.description.abstractDataset for DeVries, J. M., Kuhn, J-T, Gebhardt, M. (In Press). What applying growth mixture modeling can tell us about predictors of number line estimation, Journal of Numerical Cognitionen_US
dc.language.isoengen_US
dc.publisherZPID (Leibniz Institute for Psychology Information)en_US
dc.rightsopenAccessen_US
dc.rights.urihttps://creativecommons.org/licenses/by-sa/4.0/en_US
dc.subjectnumber line estimationen_US
dc.subjectgrowth mixture modelingen_US
dc.subjectmixture modelingen_US
dc.subjectlatent growth modelingen_US
dc.subjectspecial education needsen_US
dc.subjectmigration backgrounden_US
dc.subject.ddc150-
dc.titleWhat applying growth mixture modeling can tell us about predictors of number line estimationen_US
dc.typeresearchDataen_US
dc.description.reviewpeerReviewed-
zpid.sourceinfo.journaltitleJournal of Numerical Cognition-
dc.description.curationself-archived-
zpid.sourceinfo.articlenumber212-
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